This repository contains the replication files for the article, �Do Targeted Trade Sanctions Against Chinese Technology Companies Affect U.S. Firms? Evidence from an Event Study.� Below is a description of each file. The data reference list is at the end. 

01-es-data-prep: The first script that should be run. This organizes stock return data, conducts the market model, generates abnormal returns and aspects of the BMP statistic used in the main analysis. 

02-es-main-analysis: This script conducts the main event study and firm-level cross-sectional analysis contained in the article. It is the second file that should be run, but it can be run without 01-es-data-prep by using the provided "es_data" file, which is produced from 01-es-data-prep. 

03-placebo-data-prep: This script prepares the data for the placebo test. 

04-magnitude-data-prep: This script prepares the data for the magnitude check. 

05-placebo-magnitude-analysis: This script conducts the placebo test and magnitude check. If users prefer, they can run this file without running 03 and 04 by using the provided files, "placebo_data" and "magnitude_data," which are produced by 03 and 04.

zte_crsp: Stock returns for ZTE�s suppliers. This file is necessary for running es-data-prep. Suppliers are identified from Bloomberg (2019). Stock return data are obtained from CRSP (2020). 

huawei_crsp: Stock returns for Huawei�s suppliers. This file is necessary for running es-data-prep. Suppliers are identified from Bloomberg (2019). Stock return data are obtained from CRSP (2020). 

surveillance_crsp: Stock returns for the surveillance firms� suppliers. This file is necessary for running es-data-prep. Suppliers are identified from Bloomberg (2019). Stock return data are obtained from CRSP (2020). 

nasdaq: Returns to the Nasdaq Composite Index. This file is necessary for running es-data-prep. Data are from Nasdaq (2020). 

es_data: The data generated from the 01-es-data-prep. These data are necessary for running es-main-analysis. If users do not run es-data-prep, they can simply use the provided es_data file to run 02-es-main-analysis. 

firm_data: Data used to conduct the firm-level cross-sectional analysis. This file is necessary for running the firm-level analysis in 01-es-main-analysis. Data Sources: Bloomberg (2019); S&P Global Market Intelligence (2020a, 2020b). Please contact the author (Jeff Allen, jallen71@jhu.edu or jeffreysallen1@gmail.com) if you would like the data preparation files for the firm-level analysis.  

placebo_data: The data generated from 03-placebo-data-prep. Can be used to run 05-placebo-magnitude-analysis if 03 is not run from scratch. 

magnitude_data: The data generated from 04-magnitude-data-prep. Can be used to run 05-placebo-magnitude-analysis if 04 is not run from scratch. 

Data Sources: 

Bloomberg L.P. 2019. Supply Chain Analysis <SPLC>. Retrieved from Bloomberg terminal, 10 December 2019.  

Center for Research in Security Prices (CRSP). 2020. Daily Stock File. The University of Chicago Booth School of Business. Retrieved from Wharton Research Data Service, 24 February 2020.

Nasdaq. 2020. Global Index Data Service. Retrieved from Yahoo! Finance, 24 February 2020. 

Standard & Poor�s (S&P) Global Market Intelligence. 2020a. Compustat. Retrieved from Wharton Research Data Service, 11 September 2020. 

Standard & Poor�s (S&P) Global Market Intelligence. 2020b. NetAdvantage. Retrieved 13 September 2020.





